Difference between revisions of "ISWC2010 Evaluation"

Revision as of 14:16, 21 June 2010

Linked Sensor Data

LinkedSensorData is an RDF dataset containing expressive descriptions of ~20,000 weather stations in the United States. The data originated at MesoWest, a project within the Department of Meterology at the University of Utah that has been aggregating weather data since 2002.[1] On average, there are about five sensors per weather station measuring phenomena such as temperature, visibility, precipitation, pressure, wind speed, humidity, etc. In addition to location attributes such as latitude, longitude, and elevation, there are also links to locations in Geonames that are near each weather station. This sensors description dataset is now part of the LOD.

Perception Cycle

Perception Cycle is a system that is inspired by human perception. This system emulates the human perception cycle and also showcases how a system can take advantage of human perception model in order to achieve efficient use of sensors in order to get a situational awareness with least effort. Effort here refers to tasking sensors to observe some phenomenon and is quantified by their power consumption.

System Architecture

Perception Cycle system architecture is as shown.

Perception Cycle

Figure 1. Perception Cycle.

Perception Process

Figure 2. Perception Process.

Observation Process

Figure 3. Observation Process.

Evaluation

The Perception Cycle system has been able to achieve considerable amount of savings in terms of tasking a sensor for reporting its observations. In order to evaluate this system we consider all sensors within a radius of 25 Miles, 50 Miles, 100 Miles, 200 Miles and, 400 Miles. For each of these sets we consider 6 permutations of qualities:

• perception_0.owl quality order 0: PrecipitationQuality, TemperatureQuality, WindSpeedQuality [p-t-w]
• perception_1.owl quality order 1: PrecipitationQuality, WindSpeedQuality, TemperatureQuality [p-w-t]
• perception_2.owl quality order 2: TemperatureQuality, PrecipitationQuality, WindSpeedQuality [t-p-w]
• perception_3.owl quality order 3: TemperatureQuality, WindSpeedQuality, PrecipitationQuality [t-w-p]
• perception_4.owl quality order 4: WindSpeedQuality, PrecipitationQuality,TemperatureQuality [w-p-t]
• perception_5.owl quality order 5: WindSpeedQuality, TemperatureQuality,PrecipitationQuality [w-t-p]

Data Set

We use the observation dataset for running the perception cycle.

Ontologies

The perception ontologies for various radii are given in this section.

• 25 Miles
• 50 Miles
• 100 Miles
• 200 Miles

Statistics